UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: Fundraise Up

Location: Poland - Remote

Job Type: Full-time

Category: Product & Design Operations

Date Posted: 2026-09-02T13:44:58

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead complex, ambiguous, and high-impact UX research initiatives that directly inform product strategy and strategic decision-making for a global fundraising platform.

• Build and scale a pragmatic UX Research practice within the Design team, establishing processes, coaching designers, and implementing quality guardrails to foster a consistent research habit across the organization.

• Act as the dedicated UX Research expert within the Research Team, collaborating closely with Product, Design, and Analytics to synthesize quantitative and qualitative data into actionable user insights.

• Evangelize UX research best practices and serve as a change agent, proactively identifying opportunities for research integration, coaching colleagues, and launching new research-focused initiatives.

📝 Enhancement Note: This role is positioned as a senior UX Researcher with a strong emphasis on both hands-on research execution and the strategic development of the UX Research function. The "AI is a default tool" mandate suggests a forward-thinking approach to research operations and a requirement for candidates to be proficient and innovative in leveraging AI for efficiency and insight generation. The focus on B2B and B2C audiences within the nonprofit sector indicates a need for adaptability in understanding diverse user needs.

📈 Primary Responsibilities

• Lead end-to-end UX research projects, from defining research briefs and selecting appropriate methodologies (interviews, usability tests, concept tests, surveys, competitive scans) to conducting research, analyzing findings, synthesizing data, and presenting actionable recommendations to stakeholders.

• Develop and implement a scalable, pragmatic UX Research process for the Design team, enabling designers to conduct appropriate research independently while ensuring high-quality output and avoiding bottlenecks.

• Collaborate closely with Product Analytics to integrate quantitative data with qualitative research findings, providing a comprehensive understanding of user behavior and product performance.

• Act as a proactive evangelist for UX research, coaching and challenging colleagues on research best practices, and identifying opportunities to embed research into the product development lifecycle.

• Manage research logistics independently, including participant recruitment via platforms, scheduling, session setup, and documentation, demonstrating a high degree of ownership and autonomy.

• Maintain a high research quality bar, ensuring the correct application of research methods, structured methodologies, predictable timelines, and ethical research practices.

• Conduct a "research radar" to stay abreast of internal learnings, market/competitor movements, and high-signal UX/product trends, sharing regular updates to keep the team informed and mitigate blind spots.

• Leverage AI tools meaningfully in daily work for operational efficiency and synthesis (e.g., guides, notes, tagging, survey drafts, summaries), maintaining human judgment and methodological rigor.

• Champion user needs and constraints throughout the product development process, ensuring that user-centricity drives product decisions beyond subjective opinions.

📝 Enhancement Note: The responsibilities highlight a dual focus: leading impactful research and building the research practice. The emphasis on independent execution ("run your work independently," "no hand-holding") and proactive evangelism suggests a candidate who can operate autonomously and influence others. The requirement to "connect quantitative and qualitative evidence" and "show a product manager a full picture of user behavior" points to a strong analytical component.

🎓 Skills & Qualifications

Education: Postgraduate degree preferred, with an academic/scientific research background (graduate/PhD track) being a strong plus.

Experience: Proven experience running UX research end-to-end with high ownership, ideally 5-10 years in a dedicated UX Research role. Experience working across both B2C and B2B product audiences is essential.

Required Skills:

• End-to-End UX Research: Demonstrated ability to manage research projects from inception to actionable insights, including planning, execution, analysis, and reporting.

• Methodological Expertise: Proficiency in selecting and applying a variety of research methods (e.g., interviews, usability testing, concept testing, surveys, desk research, competitive analysis).

• AI Tool Proficiency: Proven experience and comfort in using AI tools to accelerate research operations and synthesis (e.g., Claude, AI-powered note-taking, summarization, survey drafting).

• Quantitative & Qualitative Synthesis: Ability to integrate insights from Product Analytics (PostHog, Tableau, or similar) with qualitative findings to provide a holistic view of user behavior.

• Communication & Presentation: Excellent English communication skills for moderating sessions, presenting findings, and collaborating with cross-functional teams.

• Stakeholder Management: Ability to gather input from Sales, CS, Support, Marketing, and Analytics, translating it into testable research questions and driving action from research findings.

• Ownership & Autonomy: Demonstrated ability to manage recruitment, scheduling, and logistics independently.

• Ethical Research Practice: Commitment to high research quality, ethical standards, and user respect.

Preferred Skills:

• Nielsen Norman Group (NN/g) Certifications: Indicates a strong foundational understanding of UX research principles.

• Insights Repository Tools: Experience with tools like Productboard for managing and surfacing research findings.

• Mentoring & Teaching: Experience in conducting workshops, onboarding new team members, or sharing research craft with others.

• Specific Analytics Tools: Familiarity with PostHog, Tableau, or similar data analytics and visualization platforms.

📝 Enhancement Note: The requirements emphasize practical, hands-on experience and a proactive, self-sufficient approach. The explicit mention of AI tools as a "default" rather than experimental feature is a critical differentiator, suggesting candidates should have established workflows that integrate AI. The preference for NN/g certifications and academic backgrounds points to a desire for deep theoretical grounding alongside practical application.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Research Case Studies: Showcase 2-3 detailed case studies demonstrating your ability to lead research from initial problem definition through to actionable product recommendations and impact. Each case study should clearly articulate the research question, methodology, participant profile, key findings, and the subsequent actions taken based on the research.

• Process Improvement Examples: Highlight instances where your research led to tangible improvements in user experience, conversion rates, or product adoption, quantifying the impact where possible.

• Methodology Selection Rationale: Clearly explain why specific research methods were chosen for particular projects, demonstrating strategic thinking about the best approach for different research objectives and constraints.

• AI Integration Showcase: Include examples of how you've leveraged AI tools to enhance your research process, whether for operational efficiency (e.g., faster transcription, theme identification) or synthesis support, while emphasizing how human judgment ensured rigor.

Process Documentation:

• Research Workflow Design: Demonstrate your ability to design and document a clear, scalable UX research process that can be adopted and adapted by other designers within the team. This should include templates for research briefs, consent forms, and reporting structures.

• Methodology Guidelines: Provide examples of how you would create guidelines or best practices for common research methods to ensure consistency and quality across the team.

• Synthesis & Reporting Frameworks: Showcase structured approaches for synthesizing complex qualitative data and presenting findings in a clear, concise, and actionable manner for product managers and design teams.

📝 Enhancement Note: The portfolio requirements are highly practical, focusing on demonstrating the ability to execute research end-to-end and build out a research practice. The emphasis on "impact" and "quantifying impact" suggests that candidates should be prepared to discuss the business value derived from their research. The explicit need to showcase AI tool usage is a key differentiator for this role.

💵 Compensation & Benefits

Salary Range: €3,500 - €4,400 gross per month.

Explanation of Range: This range is based on current market data for experienced UX Researchers in Poland, factoring in the "5-10 years" experience level and the "remote" work arrangement. The gross monthly salary for this role falls within the typical compensation bands for mid-to-senior level roles in the tech sector in Poland, especially for remote positions. The final compensation will be determined by specific experience, skills, qualifications, and alignment with the role's requirements, as well as location-specific cost of living adjustments if applicable.

Benefits:

• Generous Time Off: 31 days of paid leave annually.

• Comprehensive Health Coverage: 100% paid telemedicine plan for accessible healthcare.

• Home Office Setup Assistance: Support for purchasing essential furniture and equipment (office chair, desk, monitor) to ensure a comfortable and productive remote workspace.

• Professional Development: English learning courses and relevant professional education opportunities to support continuous learning and skill enhancement.

• Wellness & Lifestyle: Access to a gym or swimming pool, and co-working space options.

• Remote Work Flexibility: Fully remote position, allowing for flexible work arrangements within Poland.

Working Hours: Approximately 40 hours per week, with flexibility inherent in a remote, results-oriented environment. The focus is on output and impact rather than strict adherence to hours, common in tech and operations roles.

📝 Enhancement Note: The salary is provided in Euros gross per month, which is a common practice for roles targeting individuals in Poland and other European countries. The detailed benefits package highlights Fundraise Up's commitment to employee well-being, professional growth, and supporting remote work infrastructure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically a global fundraising platform serving the nonprofit sector. Fundraise Up operates in a competitive SaaS market, focusing on innovation in donation technology, payment processing, and user experience for both donors and nonprofits.

Company Size: Over 160 product professionals, indicating a growing, mid-sized tech company with established processes but still retaining agility. This size allows for significant impact while offering opportunities for collaboration and cross-functional exposure.

Founded: Fundraise Up is a relatively young and rapidly growing company, likely founded within the last decade (specific founding year not provided, but context suggests dynamism). This implies a culture of innovation, rapid iteration, and a focus on scaling.

Team Structure:

• The Product & Design team is part of a larger, distributed group of 160+ product professionals.

• The UX Researcher will be part of the Research Team, working alongside Product and Marketing Researchers, and closely collaborating with the wider Product, Design, and Analytics teams.

• The team operates with a "flat structure," emphasizing a lack of politics and a focus on collaboration and impactful work. Methodology:

• Data-Driven Product Development: Strong emphasis on connecting quantitative (Product Analytics) and qualitative (UX Research) evidence to inform product decisions.

• AI as a Default Tool: A core principle where AI is integrated into daily workflows for efficiency and innovation, not just experimental use.

• User-Centricity: A commitment to understanding and representing user needs and constraints in product development.

• Agile & Iterative: Implied by the nature of a fast-growing SaaS company, focusing on continuous improvement and adaptation.

Company Website: fundraiseup.com

📝 Enhancement Note: The company culture is described as flat, collaborative, and transparent, with a strong emphasis on innovation and AI integration. This suggests an environment where individuals are empowered to take ownership and contribute directly to strategic outcomes. The specific mention of serving nonprofits and donors adds a layer of mission-driven purpose to the company's operations.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Researcher role, indicated by the 5-10 years of experience requirement and the responsibility for "leading complex, ambiguous, high-impact UX research" and "building a scalable UX Research practice." This level implies a significant degree of autonomy, strategic input, and mentorship potential.

Reporting Structure: The UX Researcher will be the "dedicated UX Research expert within the Research Team," working alongside Product and Marketing Researchers, and collaborating with Product, Design, and Analytics. The exact reporting line isn't specified but suggests a position within a larger Product or Design leadership structure.

Operations Impact: The role has a direct impact on product strategy, user experience, and conversion rates for a global fundraising platform. By ensuring user needs are represented and driving data-informed decisions, the UX Researcher directly contributes to the company's mission of helping nonprofits grow their impact and to its overall business success.

Growth Opportunities:

• Practice Leadership: Opportunity to define, build, and scale the UX Research practice, establishing methodologies and best practices that will shape how research is conducted across the company.

• Strategic Influence: Direct involvement in informing product strategy for a complex, global product ecosystem, influencing the direction of features and platform development.

• Skill Development: Continuous learning in leveraging advanced AI tools for research, exploring new research methodologies, and potentially mentoring junior researchers or designers.

• Cross-Functional Exposure: Deep collaboration with Product Managers, Designers, and Product Analysts, providing a holistic understanding of the product development lifecycle and business operations.

• Career Progression: Potential to move into leadership roles within UX Research, Product Management, or Design Strategy, depending on individual career aspirations and performance.

📝 Enhancement Note: The growth trajectory for this role is significant, offering a blend of deep specialization in UX Research and broader strategic influence within a growing tech company. The emphasis on building a practice and leveraging AI suggests opportunities for becoming a thought leader in innovative research approaches.

🌐 Work Environment

Office Type: This is a fully remote position, meaning there is no central office requirement for this role. The company operates a "distributed team" model.

Office Location(s): While the role is remote within Poland, the company has a distributed team presence across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus, indicating a global operational footprint.

Workspace Context:

• Remote-First Culture: The company supports remote work with benefits like home office setup assistance, emphasizing a comfortable and productive home workspace.

• Collaborative Tools: Expectation of using digital collaboration tools for communication, project management, and research synthesis, common in distributed tech teams.

• Access to Resources: While remote, the role implies access to necessary tools, data, and support from colleagues in Product, Design, and Analytics to perform research effectively.

• Flexibility: The remote nature offers flexibility in managing work schedules, common in results-oriented tech environments.

Work Schedule: While a standard 40-hour work week is implied, the remote nature likely offers flexibility in scheduling, allowing for focused work blocks and accommodation of different time zones within the company's operational needs. The emphasis is on achieving objectives rather than rigid time tracking.

📝 Enhancement Note: The work environment is designed for remote professionals, with strong support for home office setups and a culture that embraces distributed collaboration. This setup is ideal for individuals who thrive in autonomous work settings and can effectively manage their time and communication remotely.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a brief call with a recruiter to assess basic qualifications, cultural fit, and understanding of the role's core responsibilities, especially regarding AI usage and research ownership.

• Hiring Manager Interview: A deeper dive into your UX research experience, methodology, and approach to building a research practice. Expect discussions around specific past projects and how you've handled ambiguity.

• Portfolio Review & Case Study Presentation: You will be asked to present 1-2 detailed case studies from your portfolio, showcasing your end-to-end research process, impact, and how you leveraged AI. Be prepared to discuss your methodology choices and the outcomes.

• Skills-Based Assessment/Challenge: Potentially a practical exercise or a simulated research problem to assess your problem-solving skills, research design capabilities, and ability to synthesize information quickly. This might involve a prompt to outline a research plan or analyze a small dataset.

• Cross-Functional Team Interviews: Meetings with members of the Product, Design, and Analytics teams to assess collaboration style, communication skills, and ability to integrate research insights into product development.

• Final Interview: Likely with a senior leader to discuss strategic alignment, long-term vision for the research practice, and cultural fit.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business impact of your research. Quantify results whenever possible (e.g., increased conversion rates, reduced task completion time, improved user satisfaction scores).

• Showcase Process & Rationale: For each case study, explain why you chose specific methods, how you adapted them, and what challenges you overcame. Detail your end-to-end process.

• Highlight AI Integration: Explicitly demonstrate how you used AI tools to improve efficiency, speed up synthesis, or enhance your research output. Explain the value it added.

• Structure for Clarity: Organize your portfolio logically. Use clear headings, visuals (where appropriate), and concise language. Ensure it's easy for reviewers to follow your thought process.

• Tailor to the Role: Emphasize experience with B2B/B2C products, complex research problems, and building research practices, aligning with Fundraise Up's requirements.

Challenge Preparation:

• Research Planning: Be ready to outline a research plan for a given product problem, including objectives, target users, methodologies, and timelines.

• Data Synthesis: Practice synthesizing qualitative and quantitative data to derive actionable insights. Be prepared to discuss how you'd connect different data sources.

• AI Application: Think about how you would use AI tools to tackle specific research challenges presented in a hypothetical scenario.

• Communication: Practice articulating complex research concepts and findings clearly and concisely, as if presenting to a product manager.

📝 Enhancement Note: The interview process is designed to thoroughly evaluate a candidate's research expertise, strategic thinking, AI proficiency, and collaborative capabilities. The portfolio review is a critical component, requiring candidates to demonstrate tangible impact and a well-defined research process, including AI integration.

🛠 Tools & Technology Stack

Primary Tools:

• AI Research Assistants: Extensive use of AI tools (e.g., Claude, specialized AI research platforms) for tasks such as note-taking, transcription, theme identification, survey drafting, summarization, and generating research guides.

• Research Platforms: Tools for conducting moderated and unmoderated usability testing, concept testing, and surveys. Specific platforms are not listed but expect industry-standard solutions.

• Recruiting Platforms: Tools or services used for sourcing and scheduling research participants.

Analytics & Reporting:

• Product Analytics: Experience with PostHog, Tableau, or similar tools is a strong plus. Proficiency in connecting quantitative data with qualitative insights is essential.

• Data Visualization: Ability to interpret and present data visually to stakeholders.

CRM & Automation:

• Insights Repository: Experience with Productboard or other tools for managing and sharing research findings and insights is preferred.

• Collaboration Suites: Proficiency with standard communication and collaboration tools (e.g., Slack, Zoom, Google Workspace) is assumed for a remote, distributed team.

📝 Enhancement Note: The technology stack heavily emphasizes AI-driven tools for research efficiency. Proficiency in analytics platforms like PostHog and Tableau is highly valued, indicating a need for researchers who can bridge the gap between qualitative findings and quantitative data.

👥 Team Culture & Values

Operations Values:

• User-Centricity & Empathy: A deep care for users (nonprofits and donors) is paramount. Approach participants with respect, sensitivity, and high ethical standards, ensuring their needs are represented in product decisions.

• Data-Driven Decision Making: Reliance on both qualitative research and quantitative analytics to inform product strategy and development.

• Innovation & AI Integration: A forward-thinking mindset that embraces AI as a fundamental tool for improving efficiency, output, and the nature of work itself.

• Ownership & Accountability: High expectations for individuals to manage their work independently, from research execution to driving action from findings.

• Collaboration & Transparency: Operating as a focused, distributed team where every task matters and every voice is heard, with open sharing of company performance and strategy.

Collaboration Style:

• Cross-Functional Integration: Close working relationships with Product, Design, and Analytics teams, fostering a shared understanding of user insights and product goals.

• Coaching & Mentorship: A culture where senior members (like this role) are expected to coach designers and evangelize research best practices.

• Proactive Communication: Regular sharing of "research radar" updates and insights to keep the team informed and aligned.

• Feedback Exchange: An environment that values constructive feedback to improve processes and outcomes.

📝 Enhancement Note: The core values center around a human-centric approach to product development, driven by data and innovation, particularly through AI. The collaborative style emphasizes proactive communication and shared learning within a distributed team.

⚡ Challenges & Growth Opportunities

Challenges:

• Building & Scaling a Practice: Establishing and maturing a UX Research function within a growing organization, balancing hands-on research with process development and team enablement.

• Ambiguity & Impact: Navigating complex, ambiguous product challenges and ensuring research directly translates into measurable business impact for a global platform.

• AI Integration Evolution: Staying ahead of the curve with AI tools and methodologies, integrating them effectively while maintaining research rigor and ethical standards.

• Cross-Functional Alignment: Ensuring consistent adoption and understanding of research insights across diverse teams (Product, Design, Analytics, Sales, CS, Support).

Learning & Development Opportunities:

• AI Research Mastery: Deepen expertise in leveraging cutting-edge AI tools for UX research, becoming a subject matter expert within the company.

• Strategic Research Leadership: Develop skills in shaping product strategy through research, influencing roadmaps, and identifying new research opportunities.

• Mentorship & Coaching: Opportunities to guide and mentor designers and other team members in research craft, contributing to their professional development.

• Industry Best Practices: Exposure to advanced research methodologies and continuous learning through industry trends, conferences, and professional education.

📝 Enhancement Note: This role presents a unique opportunity to shape the future of UX Research at Fundraise Up, balancing the challenges of building a practice with the rewards of significant growth and impact. The emphasis on AI offers a distinct learning path.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a complex, ambiguous research project from start to finish. What was the outcome, and how did you measure its impact?" (Focus on ownership, methodology, and results.)

• "How would you approach building a scalable UX Research practice within a design team that currently conducts limited formal research? What are your key principles for enabling designers?" (Focus on process, coaching, and enablement.)

• "Given our mission of helping nonprofits grow their impact, how would you ensure our research truly represents the needs of both nonprofit administrators and individual donors?" (Focus on user empathy and understanding diverse audiences.)

• "Describe your experience using AI tools in your research process. Provide specific examples of how AI has improved your efficiency or the quality of your insights." (Crucial for this role; be ready with concrete examples.) Company & Culture Questions:

• "What interests you about Fundraise Up and our mission in the nonprofit sector?" (Research the company and its impact.)

• "How do you see the role of UX Research evolving with the increased adoption of AI?" (Demonstrate forward-thinking and AI fluency.)

• "How do you handle situations where research findings conflict with stakeholder opinions or existing product plans?" (Assess influence and advocacy skills.)

• "Describe your experience working in a distributed or remote team environment. What strategies do you use to stay connected and collaborate effectively?" (Assess remote work readiness.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your approach (methodology, tools, AI usage), key findings, recommendations, and the impact/outcome.

• Highlight AI Integration: Dedicate a specific section or mention throughout your presentation how AI tools were used and what value they added.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your research.

• Be Ready for Deep Dives: Anticipate questions about your methodology choices, participant selection, data analysis techniques, and how you translated findings into actionable steps.

• Showcase Your Process: Demonstrate not just the outcomes, but the thinking and rigor behind your research process.

📝 Enhancement Note: Interview preparation should heavily emphasize the candidate's ability to lead research independently, build a research practice, and integrate AI tools meaningfully. Demonstrating strategic thinking, user empathy, and a data-driven approach will be key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Fundraise Up careers portal at fundraiseup.com/careers.

• Customize Your Resume: Tailor your resume to highlight your experience in end-to-end UX research, your work with B2B/B2C products, your proficiency with AI research tools, and any experience in building or scaling research practices. Use keywords from the job description.

• Prepare Your Portfolio: Curate 2-3 strong case studies that showcase your research process, methodology, impact, and specifically your use of AI tools. Ensure your portfolio is well-organized and easy to navigate.

• Practice Your Presentation: Rehearse presenting your case studies, focusing on clear communication, highlighting key insights, demonstrating impact, and explaining your AI integration strategy. Be ready to answer in-depth questions about your work.

• Research Fundraise Up: Understand their product, mission, target audience (nonprofits and donors), and their stated values regarding AI and innovation. Be prepared to articulate why you are a good fit for their culture and goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.